Suresh Gawande

Researcher · ICAR-Directorate of Onion and Garlic Research (DOGR), Pune, Maharashtra · India

Suresh works on digital tools for onion and garlic crop protection, including deep-learning object detection models for field disease diagnosis deployed through mobile apps.

1 published paper

YOLO-ODD: An Improved YOLOv8s Model for Onion Foliar Disease Detection

A field-image dataset of 1,000 onion plants trained an upgraded YOLOv8 detector that spots Anthracnose, Stemphylium blight, Purple Blotch, and Twister disease at 77.3% accuracy and 123 frames per second — fast and light enough to run inside a farmer-facing smartphone app.

Agri Data SciencePlant PathologyIndiaMachine LearningComputer Vision

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1 field note

Field notes8 min read

An AI Model That Spots Onion Disease 123 Times a Second

Researchers at ICAR's onion research institute in Pune trained a customized YOLOv8 detector on 1,000 field photos of diseased onion plants — and found that one architectural upgrade helped a lot, while a second, stacked on top of it, actually made things slightly worse.

By Suresh GawandeFrom the paper: YOLO-ODD: An Improved YOLOv8s Model for Onion Foliar Disease Detection →